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Mastering Python Design Patterns

Mastering Python Design Patterns

By : Sakis Kasampalis
3.6 (5)
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Mastering Python Design Patterns

Mastering Python Design Patterns

3.6 (5)
By: Sakis Kasampalis

Overview of this book

This book is for Python programmers with an intermediate background and an interest in design patterns implemented in idiomatic Python. Programmers of other languages who are interested in Python can also benefit from this book, but it would be better if they first read some introductory materials that explain how things are done in Python.
Table of Contents (18 chapters)
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1
1. The Factory Pattern
17
Index

Use cases

The Decorator pattern shines when used for implementing cross-cutting concerns [Lott14, page 223], [j.mp/wikicrosscut]. Examples of cross-cutting concerns are:

  • Data validation
  • Transaction processing (A transaction in this case is similar to a database transaction, in the sense that either all steps should be completed successfully, or the transaction should fail.)
  • Caching
  • Logging
  • Monitoring
  • Debugging
  • Business rules
  • Compression
  • Encryption

In general, all parts of an application that are generic and can be applied to many other parts of it, are considered cross-cutting concerns.

Another popular example of using the Decorator pattern is Graphical User Interface (GUI) toolkits. In a GUI toolkit, we want to be able to add features such as borders, shadows, colors, and scrolling to individual components/widgets [GOF95, page 196].

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